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Non-uniform source modeling for Distributed Video Coding

Velotiaray Toto-Zarasoa 1, * Aline Roumy 1 Christine Guillemot 1 
* Corresponding author
1 TEMICS - Digital image processing, modeling and communication
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : We introduce a novel correlation model, called predictive Binary Symmetric Channel (BSC), for Distributed Source Coding (DSC). We then consider non-uniform binary sources and show that, for the predictive BSC model, the non-uniformity does not reduce the compression rate in asymmetric DSC. We assess the minimum achievable rate loss induced by a mismatch between the assumed and the true correlation models. We also propose an LDPC-based decoder adapted to both the classical (additive) BSC and the new (predictive) BSC correlation models. Finally, for Distributed Video Coding (DVC) application, we propose a criterion that allows us to switch between the two correlation models.
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https://hal.inria.fr/inria-00538790
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Submitted on : Tuesday, November 23, 2010 - 12:25:44 PM
Last modification on : Friday, February 4, 2022 - 3:16:12 AM
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  • HAL Id : inria-00538790, version 1

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Velotiaray Toto-Zarasoa, Aline Roumy, Christine Guillemot. Non-uniform source modeling for Distributed Video Coding. 18th European Signal Processing Conference, Aug 2010, Aalborg, Denmark. ⟨inria-00538790⟩

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